Detection of land use changes of Urmia city with Use remote sensing by Nasrinalsadat bazmi, zahra Hejazizadeh, parviz Zeaiea Firoabadi, QholamReza Janbazghobadi

“…This article was written with the aim of revealing land use changes in Urmia city using remote sensing of Landsat satellite images for 4 periods of 8 years between 1990 and 2019. …”
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Multitemporal High-Resolution Satellite Images for the Study and Monitoring of an Ancient Mesopotamian City and its Surrounding Landscape: The Case of Ur by Giacomo Di Giacomo, Giuseppe Scardozzi

“…The paper concerns the use of multitemporal high-resolution satellite images for the study of the ancient city of Ur, in southern Mesopotamia, inaccessible to scholars from 2003. …”
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Analysis of Downstream Flood Risk in the Failure of Batman Dam with Two-Dimensional Hydraulic Modeling and Satellite Data by Gökçen Uysa, Enver Taşçı

“…Despite its low spatial resolution, SRTM satellite has lower/similar error values (RMSE and MAE) compared to ALOS-PALSAR. …”
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The site selection of heat islands and its adaptation to satellite imagery based on the TOPSIS model in Mashhad by Mokhtar Karami, Rahman Zandi, jalal taheri

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A smart city used low-latency seamless positioning system based on inverse global navigation satellite system technology by Deyue Zou, Shutong Niu, Shuhao Chen, Binhong Su, Xinyi Cheng, Jie Liu, Yunfeng Liu, Yang Li

“…People have to move between indoor and outdoor frequently in city scenarios. The global navigation satellite system signal cannot provide reliable indoor positioning services. …”
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Floods’ Impact on Cities’ Critical Infrastructure: A Case Study on Dubai by Diaa Addeen Abuhani, Raghad Aldamani, Imran Zualkernan, Reem Alali, Himanshu Grover

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Experiences, characteristics, and features of developing new towns between 1898 and 1970 by Mazdak Irani

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A remote sensing-based strategy for mapping anthropogenic urban surface ecological poorness zones (AUSEPZ): A case study of Lisbon City by Mohammad Karimi Firozjaei, Naeim Mijani, Peter M. Atkinson

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Low-Cost Solution for Assessment of Urban Flash Flood Impacts Using Sentinel-2 Satellite Images and Fuzzy Analytic Hierarchy Process: A Case Study of Ras Ghareb City, Egypt by Mohammed Sadek, Xuxiang Li

“…Firstly, the flood influence is determined on the city of Ras Ghareb, Egypt, based on analyzing free satellite data (Sentinel-2 images). …”
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Determining the Amount of Earthquake Displacement Using Differential Synthetic Aperture Radar Interferometry (D-InSAR) and Satellite Images of Sentinel-1 A: A Case Study of Sarpol-e Zahab City by Jacob Cherian

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Nitrogen Dioxide Monitoring with Satellite Imagery over Ankara, Turkey by Maryam Zare Shahne, Mostafa Jazari, Zahra Amiri

“…In this report, Sentinel 5 satellite data was utilized to monitor NO2 gas emissions in the city of Ankara. …”
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Satellite microglia: marker of traumatic brain injury and regulator of neuronal excitability by Alicia B. Feichtenbiner, Karinn Sytsma, Ryan P. O’Boyle, Rhonda Mittenzwei, Heather Maioli, Kathryn P. Scherpelz, Daniel D. Child, Ning Li, Jeanelle Ariza Torres, Lisa Keene, Amanda Kirkland, Kimberly Howard, Caitlin Latimer, C. Dirk Keene, Christopher Ransom, Amber L. Nolan

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An Investigation on Water Quality of Darlik Dam Drinking Water using Satellite Images by Erhan Alparslan, H. Gonca Coskun, Ugur Alganci

“…Darlik Dam supplies 15% of the water demand of Istanbul Metropolitan City of Turkey. Water quality (WQ) in the Darlik Dam was investigated from Landsat 5 TM satellite images of the years 2004, 2005, and 2006 in order to determine land use/land cover changes in the watershed of the dam that may deteriorate its WQ. …”
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Comparative Analysis on Applicability of Satellite and Meteorological Data for Prediction of Malaria in Endemic Area in Bangladesh by Atiqur Rahman, Leonid Roytman, Mitch Goldberg, Felix Kogan

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Study of air pollution of Isfahan based on NO2 measured data by OMI Satellite sensor by Atefeh Shahmohammadi, Ali Bayat, Saeed mashhadizadeh Maleki

“…Air pollution is one of the major problems in large cities, which can be harmful to human health and the environment. …”
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Modeling of soil salinity in Rheris Oasis (Southeastern of Morocco) using satellite spectral indices by Ait Lahssaine Ismail, Kabiri Lahcen, Messaoudi Badre, El Hafyani Mohammed, Essafraoui Badre, Kadiri Abdelhakim, El Ouali Mohamed, Canas Kurz Edgardo, Hellriegel Ulrich, Kretzschmar Helen Alice, Hoinkis Jan

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Impact of COVID-19 Pandemic on Air Pollution in Poland Based on Surface Measurements and Satellite Data by Mikalai Filonchyk, Volha Hurynovich, Haowen Yan

“…Abstract Since its first detection in December 2019 in the Chinese city of Wuhan, the virus has become a global pandemic within just three months. …”
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Impact of FY-4A Satellite-Based Surface Solar Irradiance on the Classification of Meteorology for Ozone Pollution by Yang Cao, Xiaoli Zhao, Debin Su, Hong Ren, Xiang Cheng, Yuchun Li, Chenxi Wang

“…After including SSI, among the 21 cities in the study area, the number of cities with a classification accuracy exceeding 80% increased from 7 to 14, with 20 cities having a positive accuracy growth rate and 8 cities having an accuracy growth rate exceeding 4%. …”
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Ebenezer Howard’s Garden City Idea and the Ideology of Industrialism by Jean-Yves Tizot

“…A Peaceful Path to Real Reform (1898) Ebenezer Howard proposed a blueprint for an ideal society, in which he formulated his solution to the ‘Land question’—roughly speaking, the conjoined phenomena of the overcrowding of towns and cities, and the so-called ‘rural exodus’. His was a vision of a ‘Social City’: a ‘Central City’ surrounded by six satellite towns or ‘Garden Cities’, all with limited numbers of inhabitants. …”
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Optimal selection of satellite XCO₂ images for urban CO₂ emission monitoring by A. Danjou, G. Broquet, A. Schuh, F.-M. Bréon, T. Lauvaux, T. Lauvaux

“…This study analyzes the performances of an automated method for estimating urban emissions as a function of the targeted cities and of the atmospheric conditions. It uses synthetic data experiments with synthetic truth and 9920 synthetic satellite images of XCO<span class="inline-formula">₂</span> over 31 of the largest cities across the world generated with a global adaptive-mesh model, the Ocean–Land–Atmosphere Model (OLAM), zoomed in at high resolution over these cities. …”
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